This project is an advanced AI-based paper summarizer that leverages the power of Next.js and Vercel for seamless deployment and scalability. It automatically fetches AI-related papers, processes them using the Mixtral AI model, and provides concise summaries.
Placed 2nd in the inaugural Mixtral MoE Hackathon (https://lablab.ai/event/mixtral-8x7b-24-hours-challenge/langlabs/automarketer)
See it in action LIVE as part of my marketing strategy for my AI startup https://longevity.so
The project is built using the following technologies:
- Next.js: A React framework for production, which enables server-side rendering and generating static websites for React based web applications.
- Vercel: A platform for frontend frameworks and static sites, optimized for Next.js, which provides features like serverless functions and edge caching.
- Mixtral AI: A sophisticated AI model that enhances the summarization process, ensuring high-quality, context-aware summaries of academic papers.
Key dependencies include:
autoprefixer: Parses CSS and adds vendor prefixes to CSS rules.axios: Promise-based HTTP client for the browser and Node.js.cors: Middleware to enable CORS with various options.dotenv: Loads environment variables from a .env file intoprocess.env.express: Fast, unopinionated, minimalist web framework for Node.js.langchain: A language chain library for processing natural language.node-cron: Schedules cron-like jobs.openai: Official OpenAI API library.pdf-parse: Parses PDF files to extract text data.postcss: Transforms styles with JS plugins.tailwindcss: Utility-first CSS framework for rapid UI development.xml2js: Converts XML to JavaScript objects.
Ensure you have Node.js installed. Clone the repository, navigate to the project directory, and run npm install to install dependencies.
Copy .env.template to .env and populate it with your API keys (.env is included in .gitignore).
Execute npm run dev to start the development server with Next.js. By default, the server listens on port 3000, or you can specify a different port in the .env file.
The project is ready for deployment on Vercel, which provides a simple git integration for automatic deployments and CI/CD.
This project is open-sourced under the MIT License. See the LICENSE file for more information.
For inquiries or suggestions, connect with me at my portfolio.